# Goldstonian Concordance Bible Corpus Dataset  
Author: Justin Goldston, PhD  
## Overview  
This dataset contains the structured data layer of the Goldstonian Concordance Bible (GCB), a digital humanities project mapping relationships between biblical texts, commentary nodes, thematic references, and teaching materials.  
The dataset is designed for research in:  
* digital humanities  
* biblical studies  
* computational theology  
* knowledge graph development  
* natural language processing  
This repository represents the archival dataset layer. The full project infrastructure, commentary volumes, and additional materials are available at:  
++[https://github.com/GoldstonianConcordanceBible](https://github.com/GoldstonianConcordanceBible)++  
++[https://github.com/GoldstonianConcordanceBible](https://github.com/GoldstonianConcordanceBible)++  
## Dataset Contents  
books.csv List of books included in the dataset.  
passages.csv Segmented passages by book, chapter, and verse.  
cross_references.csv Structured relationships between passages.  
themes.csv Theological themes associated with passages.  
video_index.csv Links between scripture passages and teaching videos.  
commentary_nodes.json Commentary entries associated with passages.  
## Intended Use  
This dataset is intended for research, educational, and computational analysis purposes.  
## Graph Dataset  
The corpus includes a cross-reference network dataset suitable for graph analysis.  
File: cross_reference_network.csv  
This dataset represents a directed network where nodes are scripture passages and edges represent interpretive relationships.  
Potential uses include:  
* knowledge graph research  
* computational theology  
* network analysis  
* digital humanities studies  
## Machine Learning Corpus  
The dataset includes a JSONL corpus file:  
passages_corpus.jsonl  
Each record represents a scripture passage node and may be used for:  
• natural language processing experiments • knowledge graph generation • text classification • digital humanities analysis  
